Healthcare Software Development Company

We have shipped telemedicine platforms, remote patient monitoring systems, and wellness apps used by 2,000+ patients across the US, UK, and Ireland. That domain knowledge shapes every architecture decision from week one: which FHIR resource types fit a given clinical workflow, how to structure PHI data to minimise audit surface, and what an Epic or Cerner integration needs to pass the vendor's app review. You do not pay for us to learn what HIPAA Technical Safeguards mean.

Milestone-based pricing with the fixed total agreed and documented before development starts, not a time-and-materials contract where the final number depends on how many hours the team logs. The project is broken into milestones (typically 4-6 for a 12-week engagement) with a defined deliverable and payment at each: discovery complete, core architecture reviewed, first working demo, UAT-ready build, production deployment, post-launch stabilisation. You see working software at every bi-weekly sprint review, not at the end of a 14-week silence, so course corrections happen early when they cost a sprint adjustment rather than a project restart. If scope changes, the change is costed and approved explicitly before any additional work begins, no invoice at the end for "additional requirements."

No handoffs between a business analyst who scoped it, a design team who doesn't know the clinical workflow, and an offshore build team who has never spoken to the client. The same engineers who participate in the discovery sessions, ask the questions about how your nurses actually use the EHR, and review the wireframes with your clinical team are the engineers who write the code. When an implementation question arises at week 8 about how to handle a specific FHIR resource mapping edge case, the person who answers it is the same person who discussed the clinical requirement in week 1. Accountability does not get diluted across a handoff chain.

React and Next.js for web interfaces and patient portals, React Native for cross-platform mobile, Python for backend services, PostgreSQL with row-level security for PHI storage, and AWS for infrastructure. The health-specific layer includes HL7 FHIR R4 for EHR connectivity (Epic, Cerner, Athenahealth), Twilio Video and Daily.co for HIPAA-eligible video sessions, and device integrations for CGM, blood pressure, and pulse oximetry. Every dependency is chosen because it is fit for healthcare, not because it is the most popular option.

We connect the new system to your existing EHR (Epic, Cerner, Athenahealth, Meditech), billing software, scheduling tool, and third-party device feeds. Modern EHRs integrate via FHIR R4 APIs; older systems use HL7 v2 messages. No rip-and-replace: your staff keeps the systems they know, and the new platform adds capabilities without creating two parallel records for every patient. Every integration is tested against a sandbox instance of your EHR before any production cutover.

8 weeks of post-launch support is included in every fixed-price engagement. It covers bug fixes for issues discovered under real patient load, monitoring alert investigation, performance tuning, and on-call availability during the first 30 days, the period when clinical workflow edge cases most commonly surface. A structured review at week 8 assesses performance and error rates. Support does not expire at a calendar deadline: if the system has stability issues, we stay until it runs reliably.

Custom healthcare software designed around your specific clinical workflow, not configured from a vendor template built for a different care model. We build telehealth platforms, remote patient monitoring systems, HIPAA-compliant EHR/EMR tools, chronic disease management platforms, medication adherence apps, and clinical decision support. The system records what your clinicians need, integrates with what your practice already uses, and evolves without waiting on a vendor's roadmap. Each build starts with a one-week discovery mapping the clinical workflow with your care team.

Custom clinical and operational analytics dashboards that surface the KPIs your leadership and clinical teams need, built from your actual data. Operational views for practice managers: fill rate, no-show rate, and revenue per visit. Clinical quality views for medical directors: A1c control rates, screening completion, and readmissions. Population health views for value-based care contracts. All dashboards pull from your existing EHR, billing, and RPM data without manual export, refreshed daily or in near-real-time.

Replace legacy EHR systems, outdated patient portals, and desktop-only clinical software with modern, secure, maintainable platforms, without the clinical disruption of a hard cutover. We use a strangler fig pattern: the new system runs alongside the legacy one, workflows migrate one at a time, and the old system is decommissioned module by module as the new one proves itself under real clinical load. Data migration is validated with reconciliation checks before any cutover. The resulting stack is maintainable by any competent engineering team, with no new vendor lock-in.

Connect your new or existing platform to the clinical systems already in use: EHR integration via FHIR R4 (Epic, Cerner, Athenahealth), e-prescribing via Surescripts, plus scheduling, billing, and telehealth video infrastructure. Each integration is assessed for the correct API approach and tested against the vendor's sandbox before production. Data flows without manual re-entry: the nurse who documents the encounter does not also update a separate billing system, and the patient who books online does not re-enter their details at check-in.

Reduce page load times, cut database query latency, and automate the manual steps that slow clinical and administrative staff. We audit first, profiling the application against production traffic to find the specific queries and rendering paths causing slowdowns. Common findings: N+1 queries in EHR data loading, missing indexes, and FHIR bundle requests that fetch more data than the view needs. The audit produces a fix list ranked by time saved per day for clinical staff. Results are verified with load testing under simulated clinical workload.

Intelligent healthcare software using AI where it delivers measurable improvement, not AI applied broadly because it is a trend. We build risk stratification models trained on your EHR data, AI-assisted symptom triage chatbots that collect structured intake before telehealth visits, clinical decision support using RAG over your clinical knowledge base, and automated prior authorisation assistance. Every model ships with an audit trail, human review for any output used in a clinical decision, and drift monitoring. Governance is built in from the start, not added after.

Most healthcare software projects ship in 10–14 weeks from discovery to production. Week 1 produces a scoped, validated architecture: clinical workflow mapping, integration assessment, and wireframes reviewed with your care team. Weeks 2-12 run bi-weekly sprints with working software at each review. The final weeks cover UAT, HIPAA compliance review, and deployment. Platforms with multiple integrations and complex clinical workflows are scoped explicitly at the end of discovery so the timeline reflects the actual scope.

HIPAA compliance is designed into the architecture from the first technical decision, not added as a checklist item at the end of the build. Every system ships with PHI encrypted at rest (AES-256) and in transit (TLS 1.3), multi-factor authentication, role-based access control with least privilege, immutable audit logs of every PHI access event, and Business Associate Agreements with every infrastructure provider that handles PHI. A compliance review before production deployment verifies all controls are implemented as designed.

We map your clinical workflows in Week 1 through structured sessions with the people who will use the software daily: nurses, physicians, front desk, and billing coordinators. The workflow they describe is always different from what the practice manager assumes. That map drives the technical design before the database schema is finalised, not retrofitted after. Week 1 ends with a signed-off scope document and wireframes your clinical leads have approved, so development starts from shared understanding, not a developer's interpretation of a brief.

Scope and cost locked before development starts in a written fixed-price proposal that defines the feature set, integration scope, compliance controls, and delivery timeline. No hourly billing, no estimates-that-are-actually-ranges, no "we'll know the real cost once we get into it." The price you approve in Week 1 is the price you pay at the end. Changes to scope, features added, integrations expanded, clinical workflows modified after development starts, are addressed via a change request process: the change is specified, sized, costed, and approved before any additional work begins. The fixed-price model aligns our incentives with yours: we scope carefully upfront because changes cost us as much as they cost you, and we have no financial motivation to expand scope after the project starts.

You see working software every two weeks in a live sprint demo with your clinical stakeholders present. Not slides, not screenshots, the actual running system, demonstrated against real clinical scenarios by the engineer who built the feature. Problems that affect the clinical workflow surface at the Sprint 3 demo, when the fix is a day's work, not at the UAT review in Week 13 when the same problem would require rearchitecting a built system. Sprint demos include your clinical leads, practice manager, and any compliance stakeholders who need to review HIPAA controls, because the people who can identify a clinical workflow misalignment are the people who use those workflows, not the project manager reviewing a feature checklist. Issues raised at each demo are logged, prioritised, and resolved in the next sprint before being re-reviewed at the following demo.

Slack access to your named project team throughout the engagement: the lead engineer, the project manager, and the QA lead, not a ticketing system or an account manager relaying messages. Weekly sync calls follow a structured agenda, with a written summary sent within 2 hours so decisions are documented. When a risk surfaces, an unavailable EHR sandbox or a slow compliance review, you hear about it the same day we know, not when the milestone date passes.